metafile.yml 3.1 KB

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  1. Collections:
  2. - Name: TOOD
  3. Metadata:
  4. Training Data: COCO
  5. Training Techniques:
  6. - SGD
  7. Training Resources: 8x V100 GPUs
  8. Architecture:
  9. - TOOD
  10. Paper:
  11. URL: https://arxiv.org/abs/2108.07755
  12. Title: 'TOOD: Task-aligned One-stage Object Detection'
  13. README: configs/tood/README.md
  14. Code:
  15. URL: https://github.com/open-mmlab/mmdetection/blob/v2.20.0/mmdet/models/detectors/tood.py#L7
  16. Version: v2.20.0
  17. Models:
  18. - Name: tood_r101_fpn_ms-2x_coco
  19. In Collection: TOOD
  20. Config: configs/tood/tood_r101_fpn_ms-2x_coco.py
  21. Metadata:
  22. Training Memory (GB): 6.0
  23. Epochs: 24
  24. Results:
  25. - Task: Object Detection
  26. Dataset: COCO
  27. Metrics:
  28. box AP: 46.1
  29. Weights: https://download.openmmlab.com/mmdetection/v2.0/tood/tood_r101_fpn_mstrain_2x_coco/tood_r101_fpn_mstrain_2x_coco_20211210_144232-a18f53c8.pth
  30. - Name: tood_x101-64x4d_fpn_ms-2x_coco
  31. In Collection: TOOD
  32. Config: configs/tood/tood_x101-64x4d_fpn_ms-2x_coco.py
  33. Metadata:
  34. Training Memory (GB): 10.2
  35. Epochs: 24
  36. Results:
  37. - Task: Object Detection
  38. Dataset: COCO
  39. Metrics:
  40. box AP: 47.6
  41. Weights: https://download.openmmlab.com/mmdetection/v2.0/tood/tood_x101_64x4d_fpn_mstrain_2x_coco/tood_x101_64x4d_fpn_mstrain_2x_coco_20211211_003519-a4f36113.pth
  42. - Name: tood_r101-dconv-c3-c5_fpn_ms-2x_coco
  43. In Collection: TOOD
  44. Config: configs/tood/tood_r101-dconv-c3-c5_fpn_ms-2x_coco.py
  45. Metadata:
  46. Training Memory (GB): 6.2
  47. Epochs: 24
  48. Results:
  49. - Task: Object Detection
  50. Dataset: COCO
  51. Metrics:
  52. box AP: 49.3
  53. Weights: https://download.openmmlab.com/mmdetection/v2.0/tood/tood_r101_fpn_dconv_c3-c5_mstrain_2x_coco/tood_r101_fpn_dconv_c3-c5_mstrain_2x_coco_20211210_213728-4a824142.pth
  54. - Name: tood_r50_fpn_anchor-based_1x_coco
  55. In Collection: TOOD
  56. Config: configs/tood/tood_r50_fpn_anchor-based_1x_coco.py
  57. Metadata:
  58. Training Memory (GB): 4.1
  59. Epochs: 12
  60. Results:
  61. - Task: Object Detection
  62. Dataset: COCO
  63. Metrics:
  64. box AP: 42.4
  65. Weights: https://download.openmmlab.com/mmdetection/v2.0/tood/tood_r50_fpn_anchor_based_1x_coco/tood_r50_fpn_anchor_based_1x_coco_20211214_100105-b776c134.pth
  66. - Name: tood_r50_fpn_1x_coco
  67. In Collection: TOOD
  68. Config: configs/tood/tood_r50_fpn_1x_coco.py
  69. Metadata:
  70. Training Memory (GB): 4.1
  71. Epochs: 12
  72. Results:
  73. - Task: Object Detection
  74. Dataset: COCO
  75. Metrics:
  76. box AP: 42.4
  77. Weights: https://download.openmmlab.com/mmdetection/v2.0/tood/tood_r50_fpn_1x_coco/tood_r50_fpn_1x_coco_20211210_103425-20e20746.pth
  78. - Name: tood_r50_fpn_ms-2x_coco
  79. In Collection: TOOD
  80. Config: configs/tood/tood_r50_fpn_ms-2x_coco.py
  81. Metadata:
  82. Training Memory (GB): 4.1
  83. Epochs: 24
  84. Results:
  85. - Task: Object Detection
  86. Dataset: COCO
  87. Metrics:
  88. box AP: 44.5
  89. Weights: https://download.openmmlab.com/mmdetection/v2.0/tood/tood_r50_fpn_mstrain_2x_coco/tood_r50_fpn_mstrain_2x_coco_20211210_144231-3b23174c.pth